Simon Says Educate, Spotify, Interview, Mar 11, 2026.

---

We examine nine commonly cited AI ethical principles and makes the case that what gets labeled "ethical" in AI policy is often a reflection of political perspectives and underlying assumptions rather than genuine consensus. The conversation covers the contested nature of foundational principles like fairness, transparency, and accountability, and why each one dissolves under scrutiny into competing values rather than universal ethics. We discuss the cultural and contextual variability of AI guardrails, the dominance of risk-based ethics in education policy, and feminist Duty of Care theory as a largely overlooked alternative framework.